片语

topology of uniform convergence[数]

relative uniform star convergence[数]

uniform complete convergence一致完全收敛性

uniform absolute convergence一致绝对收敛

uniform chordal convergence[数]

uniform strong convergence一致强收敛

uniform strong convergence rate一致强收敛速度

Uniform Convergence Principle一致收敛原理

uniform star convergence[数]

英汉例句

• a method for making polynomial train is given, and the uniform convergence of the train is proved by means of analysis method.

  给出了构造多项 式序列的一种方法，并采用分析的方法证明该序列的一致收敛性。

• finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.

  最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。

• in this paper, the bounds on the rate of uniform convergence of the learning processes on possibility space are discussed based on the classic statistical learning theory.

  本文在经典统计学习理论的基础上，讨论了可能性空间上学习过程一致收敛速度的界。

• through weierstrass circle of students the importance of uniform convergence was made known.

  通过威阿斯塔斯周围的学生，人们知道了一致收敛性的重要性。

• the second part is in uniform convergence conditions function series, function and parameter improper integral. we properties.

  第二部分是在一致收敛条件下函数列、函数项级数以及含参量反常积分的性质。

• this paper defines local uniform convergence and suburiiform convergence of function quence with two unknows and discusses their correlation.

  主要讨论含参量广义积分一致收敛性、局部一致收敛性和亚一致收敛性以及相互之间的关系。

• this paper mainly investigates the bounds on the rate of uniform convergence of the fuzzy learning processes.

  本文给出了非一致收敛的几个定理 ，并以较多的实例说明它们的应用。

• by means of the asymptotic solution of singular perturbation problem we proved the uniform convergence of this scheme with respect to the small parameter.

  我们利用问题的渐近解证明了差分格式关于小参数的一致收敛性。

• then a solution sequence, which consists of an accurate linear term and nonlinear compensation term, is constructed and its uniform convergence to the optimal solution of the system is proven.

  其次，构造了该问题族的由精确线性项和非线性补偿项组成的解序列，并证明了解序列一致收敛到系统的最优解。

• finally, out of uniform convergence of function and function of the nature of class .

  最后讨论了一致收敛函数列与函数项级的性质。

• numerical results indicate that the generalized conforming element has the advantages of high accuracy and uniform convergence to geometrically nonlinear problem of structures.

  计算结果表明，广义协调元对于求解结构几何非线性问题同样具有精度高、收敛快等优点。

• more importantly, this method also leads to uniform convergence for layer-adapted meshes.

  另外，对于局部加密网格，该方法具有一致收敛性。

• strong uniform convergence rates are proved to be optimal for kernel-type estimator and weighted estimator of conditional function in the fixed design and random design, under certain conditions.

  对随机与固定设计的回归函数，分别利用核估计和非参数加权估计，在核函数及权函数满足一条件下，本文证明了估计一致强收敛于待估函数的速度可达到最优。

• in this paper, the uniform convergence and local uniform convergence and meta-uniform-convergence in infinite integration with parameter are discussed.

  主要讨论含参量广义积分一致收敛性、局部一致收敛性和亚一致收敛性以及相互之间的关系。

• finally the key theorem of statistical learning theory based on birandom samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.

  最后证明基于随机粗糙样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。

• on the basis of the classical valuation method of generalized functions, the set value of a generalized function has been defined by the equivalent value mode and the uniform convergence method.

  采用层次分析法确定準则层和各单项指标的权重，通过广义函数法对各评价指标进行无量纲化来确定单个指标的评价值，最后根据各指标的评价值及其权重确定城市交通适应性评价值。

• a strict proof of the formulas of the convergence real part, absolutely convergence part and uniform convergence real part for the exponential series has been given.

  主要讨论了收敛级数的子级数和集的结构，得到了绝对收敛的子级数和集的一些有价值的性质，并首次给出了它的构造性证明。

• in this paper, we propose the concept of rates of strong uniform convergence of nearest neighbor density estimates on any compact set and obtain some better convergence rates.

  在这篇文章中，我们提出了最近邻估计在任意紧集上一致强收敛速度的概念，得到了一些较好的收敛速度。

• continuity, uniform continuity, uniform convergence and equicontinuity are very important qualities of functions or sequence of functions.

  连续、一致连续、一致收敛和等度连续是函数或函数列非常重要的性质。

• in this paper, we discuss the bounds on the risk for indicator loss function on possibility space, and then estimate the rate of uniform convergence and finally .

  本文在可能性空间中讨论了学习过程一致收敛速度的界，给出了一致收敛速度的界的估计并讨论了这些界和函数集容量之间的关系。

• then uniform convergence analysis is carried out for the proposed algorithm.

  并对提出的算法做了一致收敛性分析。

• the paper expresses the important function on the understanding of the uniform convergence in the mathematical history study.

  本文论述了学习级数发展史对理解一致收敛这一难点的重要作用。

• in this paper, based on-, the uniform convergence of the kth order weak bounded variation functions on the sequence spaces were investigated. some equivalent conditions were also obtained.

  本文在原有研究结果的基础上，讨论了叙列空间上的弱k级有界变差函数的一致收敛问题，得到了若干有关一致收敛的等价条件。

• for a sequence of arbitrary functions, uniform convergence can't be implied by pointwise convergence.

  函数列的收敛性不一定导致它的一致收敛性。